Category: Webinar

If your legacy on-premises business intelligence (BI) solution is insufficient for your needs, consider cloud BI as a more agile alternative. According to The Forrester Wave™: Cloud Business Intelligence Platforms, Q4 2015, “vendors that combine the advantages of cloud delivery with enterprise BI features offer optimal platforms to their customers.”

Do you want to grow Tableau usage across your company, but are grappling with maintaining data consistency? Do your users want access to more data to analyze, but are struggling with complex, time-consuming data preparation?

Are you looking for dashboards and analytics that will grow your product adoption, increase value for your customers and boost your product differentiation – without exhausting your time and resources?

You want to expand the use of analytics across the enterprise – but using legacy, on-premises BI solutions requires physical replication of BI infrastructure, which is time-consuming and expensive. Now there is a new, more agile approach which virtualizes the entire BI ecosystem and transforms every aspect of a company’s approach to analytics: Networked BI.

Birst is the only BI and analytics provider that delivers the platform, management ecosystem and go-to-market process to help companies embed analytics into their product – and in a new webinar, you’ll learn firsthand how we helped Vertafore, the leading provider of information solutions to the insurance industry, do just that.

Companies seeking to add analytical insights to their products inevitably must face the same question: should we buy analytics or try to build them ourselves? Too often they make this decision solely based on cost factors—big mistake. The answer is not as easy as simply comparing costs, because key elements may be omitted, strategic decisions might be overlooked and often the decision isn’t appropriately matched to the product goals.

To build or to buy. That is the question often faced by companies seeking to add analytical insights to their product: whether to buy analytics or to build it? The answer is not as easy as simply comparing costs, because key elements can be overlooked, strategic decisions may be omitted and hidden costs might be missed.

Adding analytics to your product can be a difficult proposition. I know, because I’ve been there. As a product owner, I gained a lot of experience launching embedded data products, and frankly, made a number of mistakes along the way before finally getting it right. Fortunately, I took good notes and eventually came up with techniques to avoid the pitfalls common to most data product owners.